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            <h1><a href="../index.html">プロンプト付きの安定した拡散を利用したペイント中の画像</a></h1>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">11</span><span></span><span class="kn">import</span> <span class="nn">argparse</span>
<span class="lineno">12</span><span class="kn">from</span> <span class="nn">pathlib</span> <span class="kn">import</span> <span class="n">Path</span>
<span class="lineno">13</span><span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Optional</span>
<span class="lineno">14</span>
<span class="lineno">15</span><span class="kn">import</span> <span class="nn">torch</span>
<span class="lineno">16</span>
<span class="lineno">17</span><span class="kn">from</span> <span class="nn">labml</span> <span class="kn">import</span> <span class="n">lab</span><span class="p">,</span> <span class="n">monit</span>
<span class="lineno">18</span><span class="kn">from</span> <span class="nn">labml_nn.diffusion.stable_diffusion.latent_diffusion</span> <span class="kn">import</span> <span class="n">LatentDiffusion</span>
<span class="lineno">19</span><span class="kn">from</span> <span class="nn">labml_nn.diffusion.stable_diffusion.sampler</span> <span class="kn">import</span> <span class="n">DiffusionSampler</span>
<span class="lineno">20</span><span class="kn">from</span> <span class="nn">labml_nn.diffusion.stable_diffusion.sampler.ddim</span> <span class="kn">import</span> <span class="n">DDIMSampler</span>
<span class="lineno">21</span><span class="kn">from</span> <span class="nn">labml_nn.diffusion.stable_diffusion.util</span> <span class="kn">import</span> <span class="n">load_model</span><span class="p">,</span> <span class="n">save_images</span><span class="p">,</span> <span class="n">load_img</span><span class="p">,</span> <span class="n">set_seed</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-1'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-1'>#</a>
            </div>
            <h3>イメージ・イン・ペインティング・クラス</h3>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">24</span><span class="k">class</span> <span class="nc">InPaint</span><span class="p">:</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-2'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-2'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">28</span>    <span class="n">model</span><span class="p">:</span> <span class="n">LatentDiffusion</span>
<span class="lineno">29</span>    <span class="n">sampler</span><span class="p">:</span> <span class="n">DiffusionSampler</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-3'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-3'>#</a>
            </div>
            <ul><li><code  class="highlight"><span></span><span class="n">checkpoint_path</span></code>
チェックポイントのパスです</li>
<li><code  class="highlight"><span></span><span class="n">ddim_steps</span></code>
はサンプリングステップの数</li>
<li><code  class="highlight"><span></span><span class="n">ddim_eta</span></code>
<a href="../sampler/ddim.html">DDIM</a> サンプリング定数です <span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.625em;vertical-align:-0.19444em;"></span><span class="mord mathnormal" style="margin-right:0.03588em;">η</span></span></span></span></span></li></ul>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">31</span>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="p">,</span> <span class="n">checkpoint_path</span><span class="p">:</span> <span class="n">Path</span><span class="p">,</span>
<span class="lineno">32</span>                 <span class="n">ddim_steps</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">50</span><span class="p">,</span>
<span class="lineno">33</span>                 <span class="n">ddim_eta</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.0</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-4'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-4'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">39</span>        <span class="bp">self</span><span class="o">.</span><span class="n">ddim_steps</span> <span class="o">=</span> <span class="n">ddim_steps</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-5'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-5'>#</a>
            </div>
            <p><a href="../latent_diffusion.html">負荷潜伏拡散モデル</a></p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">42</span>        <span class="bp">self</span><span class="o">.</span><span class="n">model</span> <span class="o">=</span> <span class="n">load_model</span><span class="p">(</span><span class="n">checkpoint_path</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-6'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-6'>#</a>
            </div>
            <p>デバイスを取得</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">44</span>        <span class="bp">self</span><span class="o">.</span><span class="n">device</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="s2">&quot;cuda:0&quot;</span><span class="p">)</span> <span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">is_available</span><span class="p">()</span> <span class="k">else</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="s2">&quot;cpu&quot;</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-7'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-7'>#</a>
            </div>
            <p>モデルをデバイスに移動</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">46</span>        <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-8'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-8'>#</a>
            </div>
            <p><a href="../sampler/ddim.html">DDIM サンプラーを初期化</a></p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">49</span>        <span class="bp">self</span><span class="o">.</span><span class="n">sampler</span> <span class="o">=</span> <span class="n">DDIMSampler</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="p">,</span>
<span class="lineno">50</span>                                   <span class="n">n_steps</span><span class="o">=</span><span class="n">ddim_steps</span><span class="p">,</span>
<span class="lineno">51</span>                                   <span class="n">ddim_eta</span><span class="o">=</span><span class="n">ddim_eta</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-9'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-9'>#</a>
            </div>
            <ul><li><code  class="highlight"><span></span><span class="n">dest_path</span></code>
生成された画像を保存するパスです</li>
<li><code  class="highlight"><span></span><span class="n">orig_img</span></code>
変換する画像です</li>
<li><code  class="highlight"><span></span><span class="n">strength</span></code>
元の画像のどの程度保存しないかを指定します</li>
<li><code  class="highlight"><span></span><span class="n">batch_size</span></code>
はバッチで生成する画像の数です</li>
<li><code  class="highlight"><span></span><span class="n">prompt</span></code>
で画像を生成するプロンプトです</li>
<li><code  class="highlight"><span></span><span class="n">uncond_scale</span></code>
無条件ガイダンススケールです <span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.43056em;vertical-align:0em;"></span><span class="mord coloredeq eqd" style=""><span class="mord mathnormal" style="">s</span></span></span></span></span></span>これは次の用途に使用されます <span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:1em;vertical-align:-0.25em;"></span><span class="mord"><span class="mord mathnormal">ϵ</span><span class="msupsub"><span class="vlist-t vlist-t2"><span class="vlist-r"><span class="vlist" style="height:0.33610799999999996em;"><span style="top:-2.5500000000000003em;margin-left:0em;margin-right:0.05em;"><span class="pstrut" style="height:2.7em;"></span><span class="sizing reset-size6 size3 mtight"><span class="mord mathnormal mtight" style="margin-right:0.02778em;">θ</span></span></span></span><span class="vlist-s">​</span></span><span class="vlist-r"><span class="vlist" style="height:0.15em;"><span></span></span></span></span></span></span><span class="mopen">(</span><span class="mord"><span class="mord mathnormal">x</span><span class="msupsub"><span class="vlist-t vlist-t2"><span class="vlist-r"><span class="vlist" style="height:0.2805559999999999em;"><span style="top:-2.5500000000000003em;margin-left:0em;margin-right:0.05em;"><span class="pstrut" style="height:2.7em;"></span><span class="sizing reset-size6 size3 mtight"><span class="mord mathnormal mtight">t</span></span></span></span><span class="vlist-s">​</span></span><span class="vlist-r"><span class="vlist" style="height:0.15em;"><span></span></span></span></span></span></span><span class="mpunct">,</span><span class="mspace" style="margin-right:0.16666666666666666em;"></span><span class="mord mathnormal">c</span><span class="mclose">)</span><span class="mspace" style="margin-right:0.2777777777777778em;"></span><span class="mrel">=</span><span class="mspace" style="margin-right:0.2777777777777778em;"></span></span><span class="base"><span class="strut" style="height:1em;vertical-align:-0.25em;"></span><span class="mord coloredeq eqd" style=""><span class="mord mathnormal" style="">s</span></span><span class="mord"><span class="mord mathnormal">ϵ</span><span class="msupsub"><span class="vlist-t vlist-t2"><span class="vlist-r"><span class="vlist" style="height:0.33610799999999996em;"><span style="top:-2.5500000000000003em;margin-left:0em;margin-right:0.05em;"><span class="pstrut" style="height:2.7em;"></span><span class="sizing reset-size6 size3 mtight"><span class="mord text mtight"><span class="mord mtight">cond</span></span></span></span></span><span class="vlist-s">​</span></span><span class="vlist-r"><span class="vlist" style="height:0.15em;"><span></span></span></span></span></span></span><span class="mopen">(</span><span class="mord"><span class="mord mathnormal">x</span><span class="msupsub"><span class="vlist-t vlist-t2"><span class="vlist-r"><span class="vlist" style="height:0.2805559999999999em;"><span style="top:-2.5500000000000003em;margin-left:0em;margin-right:0.05em;"><span class="pstrut" style="height:2.7em;"></span><span class="sizing reset-size6 size3 mtight"><span class="mord mathnormal mtight">t</span></span></span></span><span class="vlist-s">​</span></span><span class="vlist-r"><span class="vlist" style="height:0.15em;"><span></span></span></span></span></span></span><span class="mpunct">,</span><span class="mspace" style="margin-right:0.16666666666666666em;"></span><span class="mord mathnormal">c</span><span class="mclose">)</span><span class="mspace" style="margin-right:0.2222222222222222em;"></span><span class="mbin">+</span><span class="mspace" style="margin-right:0.2222222222222222em;"></span></span><span class="base"><span class="strut" style="height:1em;vertical-align:-0.25em;"></span><span class="mopen">(</span><span class="mord coloredeq eqd" style=""><span class="mord mathnormal" style="">s</span></span><span class="mspace" style="margin-right:0.2222222222222222em;"></span><span class="mbin">−</span><span class="mspace" style="margin-right:0.2222222222222222em;"></span></span><span class="base"><span class="strut" style="height:1em;vertical-align:-0.25em;"></span><span class="mord coloredeq eqc" style=""><span class="mord" style="">1</span></span><span class="mclose">)</span><span class="mord"><span class="mord mathnormal">ϵ</span><span class="msupsub"><span class="vlist-t vlist-t2"><span class="vlist-r"><span class="vlist" style="height:0.33610799999999996em;"><span style="top:-2.5500000000000003em;margin-left:0em;margin-right:0.05em;"><span class="pstrut" style="height:2.7em;"></span><span class="sizing reset-size6 size3 mtight"><span class="mord text mtight"><span class="mord mtight">cond</span></span></span></span></span><span class="vlist-s">​</span></span><span class="vlist-r"><span class="vlist" style="height:0.15em;"><span></span></span></span></span></span></span><span class="mopen">(</span><span class="mord"><span class="mord mathnormal">x</span><span class="msupsub"><span class="vlist-t vlist-t2"><span class="vlist-r"><span class="vlist" style="height:0.2805559999999999em;"><span style="top:-2.5500000000000003em;margin-left:0em;margin-right:0.05em;"><span class="pstrut" style="height:2.7em;"></span><span class="sizing reset-size6 size3 mtight"><span class="mord mathnormal mtight">t</span></span></span></span><span class="vlist-s">​</span></span><span class="vlist-r"><span class="vlist" style="height:0.15em;"><span></span></span></span></span></span></span><span class="mpunct">,</span><span class="mspace" style="margin-right:0.16666666666666666em;"></span><span class="mord"><span class="mord mathnormal">c</span><span class="msupsub"><span class="vlist-t vlist-t2"><span class="vlist-r"><span class="vlist" style="height:0.151392em;"><span style="top:-2.5500000000000003em;margin-left:0em;margin-right:0.05em;"><span class="pstrut" style="height:2.7em;"></span><span class="sizing reset-size6 size3 mtight"><span class="mord mathnormal mtight">u</span></span></span></span><span class="vlist-s">​</span></span><span class="vlist-r"><span class="vlist" style="height:0.15em;"><span></span></span></span></span></span></span><span class="mclose">)</span></span></span></span></span></li></ul>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">53</span>    <span class="nd">@torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">()</span>
<span class="lineno">54</span>    <span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="p">,</span>
<span class="lineno">55</span>                 <span class="n">dest_path</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
<span class="lineno">56</span>                 <span class="n">orig_img</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
<span class="lineno">57</span>                 <span class="n">strength</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
<span class="lineno">58</span>                 <span class="n">batch_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">3</span><span class="p">,</span>
<span class="lineno">59</span>                 <span class="n">prompt</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
<span class="lineno">60</span>                 <span class="n">uncond_scale</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">5.0</span><span class="p">,</span>
<span class="lineno">61</span>                 <span class="n">mask</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
<span class="lineno">62</span>                 <span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-10'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-10'>#</a>
            </div>
            <p>プロンプトを一括作成</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">73</span>        <span class="n">prompts</span> <span class="o">=</span> <span class="n">batch_size</span> <span class="o">*</span> <span class="p">[</span><span class="n">prompt</span><span class="p">]</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-11'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-11'>#</a>
            </div>
            <p>画像を読み込む</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">75</span>        <span class="n">orig_image</span> <span class="o">=</span> <span class="n">load_img</span><span class="p">(</span><span class="n">orig_img</span><span class="p">)</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-12'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-12'>#</a>
            </div>
            <p>潜在空間に画像をエンコードし、<code  class="highlight"><span></span><span class="n">batch_size</span></code>
そのコピーを作成します</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">77</span>        <span class="n">orig</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">autoencoder_encode</span><span class="p">(</span><span class="n">orig_image</span><span class="p">)</span><span class="o">.</span><span class="n">repeat</span><span class="p">(</span><span class="n">batch_size</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-13'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-13'>#</a>
            </div>
            <p><code  class="highlight"><span></span><span class="n">mask</span></code>
提供されていない場合は、画像の下半分を保存するようにサンプルマスクを設定します</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">80</span>        <span class="k">if</span> <span class="n">mask</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
<span class="lineno">81</span>            <span class="n">mask</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">zeros_like</span><span class="p">(</span><span class="n">orig</span><span class="p">,</span> <span class="n">device</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">)</span>
<span class="lineno">82</span>            <span class="n">mask</span><span class="p">[:,</span> <span class="p">:,</span> <span class="n">mask</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">//</span> <span class="mi">2</span><span class="p">:,</span> <span class="p">:]</span> <span class="o">=</span> <span class="mf">1.</span>
<span class="lineno">83</span>        <span class="k">else</span><span class="p">:</span>
<span class="lineno">84</span>            <span class="n">mask</span> <span class="o">=</span> <span class="n">mask</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-14'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-14'>#</a>
            </div>
            <p>ノイズは元の画像を拡散します</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">86</span>        <span class="n">orig_noise</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">randn</span><span class="p">(</span><span class="n">orig</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">device</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-15'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-15'>#</a>
            </div>
            <p>オリジナルを拡散させるまでのステップ数を求める</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">89</span>        <span class="k">assert</span> <span class="mf">0.</span> <span class="o">&lt;=</span> <span class="n">strength</span> <span class="o">&lt;=</span> <span class="mf">1.</span><span class="p">,</span> <span class="s1">&#39;can only work with strength in [0.0, 1.0]&#39;</span>
<span class="lineno">90</span>        <span class="n">t_index</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">strength</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">ddim_steps</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-16'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-16'>#</a>
            </div>
            <p>AMP オートキャスティング</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">93</span>        <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">amp</span><span class="o">.</span><span class="n">autocast</span><span class="p">():</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-17'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-17'>#</a>
            </div>
            <p>無条件スケーリングでは、<span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.64444em;vertical-align:0em;"></span><span class="mord coloredeq eqc" style=""><span class="mord" style="">1</span></span></span></span></span></span>空のプロンプトでは埋め込みは取得されません (条件なし)。</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">95</span>            <span class="k">if</span> <span class="n">uncond_scale</span> <span class="o">!=</span> <span class="mf">1.0</span><span class="p">:</span>
<span class="lineno">96</span>                <span class="n">un_cond</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">get_text_conditioning</span><span class="p">(</span><span class="n">batch_size</span> <span class="o">*</span> <span class="p">[</span><span class="s2">&quot;&quot;</span><span class="p">])</span>
<span class="lineno">97</span>            <span class="k">else</span><span class="p">:</span>
<span class="lineno">98</span>                <span class="n">un_cond</span> <span class="o">=</span> <span class="kc">None</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-18'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-18'>#</a>
            </div>
            <p>プロンプトの埋め込みを入手</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">100</span>            <span class="n">cond</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">get_text_conditioning</span><span class="p">(</span><span class="n">prompts</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-19'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-19'>#</a>
            </div>
            <p>元の画像にノイズを追加</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">102</span>            <span class="n">x</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">sampler</span><span class="o">.</span><span class="n">q_sample</span><span class="p">(</span><span class="n">orig</span><span class="p">,</span> <span class="n">t_index</span><span class="p">,</span> <span class="n">noise</span><span class="o">=</span><span class="n">orig_noise</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-20'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-20'>#</a>
            </div>
            <p>マスクされた領域はそのままに、ノイズの多い画像から再構成します</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">104</span>            <span class="n">x</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">sampler</span><span class="o">.</span><span class="n">paint</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">cond</span><span class="p">,</span> <span class="n">t_index</span><span class="p">,</span>
<span class="lineno">105</span>                                   <span class="n">orig</span><span class="o">=</span><span class="n">orig</span><span class="p">,</span>
<span class="lineno">106</span>                                   <span class="n">mask</span><span class="o">=</span><span class="n">mask</span><span class="p">,</span>
<span class="lineno">107</span>                                   <span class="n">orig_noise</span><span class="o">=</span><span class="n">orig_noise</span><span class="p">,</span>
<span class="lineno">108</span>                                   <span class="n">uncond_scale</span><span class="o">=</span><span class="n">uncond_scale</span><span class="p">,</span>
<span class="lineno">109</span>                                   <span class="n">uncond_cond</span><span class="o">=</span><span class="n">un_cond</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-21'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-21'>#</a>
            </div>
            <p><a href="../model/autoencoder.html">オートエンコーダから画像をデコードします</a></p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">111</span>            <span class="n">images</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">autoencoder_decode</span><span class="p">(</span><span class="n">x</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-22'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-22'>#</a>
            </div>
            <p>画像を保存</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">114</span>        <span class="n">save_images</span><span class="p">(</span><span class="n">images</span><span class="p">,</span> <span class="n">dest_path</span><span class="p">,</span> <span class="s1">&#39;paint_&#39;</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-23'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-23'>#</a>
            </div>
            <h3>CLI</h3>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">117</span><span class="k">def</span> <span class="nf">main</span><span class="p">():</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-24'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-24'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">121</span>    <span class="n">parser</span> <span class="o">=</span> <span class="n">argparse</span><span class="o">.</span><span class="n">ArgumentParser</span><span class="p">()</span>
<span class="lineno">122</span>
<span class="lineno">123</span>    <span class="n">parser</span><span class="o">.</span><span class="n">add_argument</span><span class="p">(</span>
<span class="lineno">124</span>        <span class="s2">&quot;--prompt&quot;</span><span class="p">,</span>
<span class="lineno">125</span>        <span class="nb">type</span><span class="o">=</span><span class="nb">str</span><span class="p">,</span>
<span class="lineno">126</span>        <span class="n">nargs</span><span class="o">=</span><span class="s2">&quot;?&quot;</span><span class="p">,</span>
<span class="lineno">127</span>        <span class="n">default</span><span class="o">=</span><span class="s2">&quot;a painting of a cute monkey playing guitar&quot;</span><span class="p">,</span>
<span class="lineno">128</span>        <span class="n">help</span><span class="o">=</span><span class="s2">&quot;the prompt to render&quot;</span>
<span class="lineno">129</span>    <span class="p">)</span>
<span class="lineno">130</span>
<span class="lineno">131</span>    <span class="n">parser</span><span class="o">.</span><span class="n">add_argument</span><span class="p">(</span>
<span class="lineno">132</span>        <span class="s2">&quot;--orig-img&quot;</span><span class="p">,</span>
<span class="lineno">133</span>        <span class="nb">type</span><span class="o">=</span><span class="nb">str</span><span class="p">,</span>
<span class="lineno">134</span>        <span class="n">nargs</span><span class="o">=</span><span class="s2">&quot;?&quot;</span><span class="p">,</span>
<span class="lineno">135</span>        <span class="n">help</span><span class="o">=</span><span class="s2">&quot;path to the input image&quot;</span>
<span class="lineno">136</span>    <span class="p">)</span>
<span class="lineno">137</span>
<span class="lineno">138</span>    <span class="n">parser</span><span class="o">.</span><span class="n">add_argument</span><span class="p">(</span><span class="s2">&quot;--batch_size&quot;</span><span class="p">,</span> <span class="nb">type</span><span class="o">=</span><span class="nb">int</span><span class="p">,</span> <span class="n">default</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span> <span class="n">help</span><span class="o">=</span><span class="s2">&quot;batch size&quot;</span><span class="p">,</span> <span class="p">)</span>
<span class="lineno">139</span>    <span class="n">parser</span><span class="o">.</span><span class="n">add_argument</span><span class="p">(</span><span class="s2">&quot;--steps&quot;</span><span class="p">,</span> <span class="nb">type</span><span class="o">=</span><span class="nb">int</span><span class="p">,</span> <span class="n">default</span><span class="o">=</span><span class="mi">50</span><span class="p">,</span> <span class="n">help</span><span class="o">=</span><span class="s2">&quot;number of sampling steps&quot;</span><span class="p">)</span>
<span class="lineno">140</span>
<span class="lineno">141</span>    <span class="n">parser</span><span class="o">.</span><span class="n">add_argument</span><span class="p">(</span><span class="s2">&quot;--scale&quot;</span><span class="p">,</span> <span class="nb">type</span><span class="o">=</span><span class="nb">float</span><span class="p">,</span> <span class="n">default</span><span class="o">=</span><span class="mf">5.0</span><span class="p">,</span>
<span class="lineno">142</span>                        <span class="n">help</span><span class="o">=</span><span class="s2">&quot;unconditional guidance scale: &quot;</span>
<span class="lineno">143</span>                             <span class="s2">&quot;eps = eps(x, empty) + scale * (eps(x, cond) - eps(x, empty))&quot;</span><span class="p">)</span>
<span class="lineno">144</span>
<span class="lineno">145</span>    <span class="n">parser</span><span class="o">.</span><span class="n">add_argument</span><span class="p">(</span><span class="s2">&quot;--strength&quot;</span><span class="p">,</span> <span class="nb">type</span><span class="o">=</span><span class="nb">float</span><span class="p">,</span> <span class="n">default</span><span class="o">=</span><span class="mf">0.75</span><span class="p">,</span>
<span class="lineno">146</span>                        <span class="n">help</span><span class="o">=</span><span class="s2">&quot;strength for noise: &quot;</span>
<span class="lineno">147</span>                             <span class="s2">&quot; 1.0 corresponds to full destruction of information in init image&quot;</span><span class="p">)</span>
<span class="lineno">148</span>
<span class="lineno">149</span>    <span class="n">opt</span> <span class="o">=</span> <span class="n">parser</span><span class="o">.</span><span class="n">parse_args</span><span class="p">()</span>
<span class="lineno">150</span>    <span class="n">set_seed</span><span class="p">(</span><span class="mi">42</span><span class="p">)</span>
<span class="lineno">151</span>
<span class="lineno">152</span>    <span class="n">in_paint</span> <span class="o">=</span> <span class="n">InPaint</span><span class="p">(</span><span class="n">checkpoint_path</span><span class="o">=</span><span class="n">lab</span><span class="o">.</span><span class="n">get_data_path</span><span class="p">()</span> <span class="o">/</span> <span class="s1">&#39;stable-diffusion&#39;</span> <span class="o">/</span> <span class="s1">&#39;sd-v1-4.ckpt&#39;</span><span class="p">,</span>
<span class="lineno">153</span>                       <span class="n">ddim_steps</span><span class="o">=</span><span class="n">opt</span><span class="o">.</span><span class="n">steps</span><span class="p">)</span>
<span class="lineno">154</span>
<span class="lineno">155</span>    <span class="k">with</span> <span class="n">monit</span><span class="o">.</span><span class="n">section</span><span class="p">(</span><span class="s1">&#39;Generate&#39;</span><span class="p">):</span>
<span class="lineno">156</span>        <span class="n">in_paint</span><span class="p">(</span><span class="n">dest_path</span><span class="o">=</span><span class="s1">&#39;outputs&#39;</span><span class="p">,</span>
<span class="lineno">157</span>                 <span class="n">orig_img</span><span class="o">=</span><span class="n">opt</span><span class="o">.</span><span class="n">orig_img</span><span class="p">,</span>
<span class="lineno">158</span>                 <span class="n">strength</span><span class="o">=</span><span class="n">opt</span><span class="o">.</span><span class="n">strength</span><span class="p">,</span>
<span class="lineno">159</span>                 <span class="n">batch_size</span><span class="o">=</span><span class="n">opt</span><span class="o">.</span><span class="n">batch_size</span><span class="p">,</span>
<span class="lineno">160</span>                 <span class="n">prompt</span><span class="o">=</span><span class="n">opt</span><span class="o">.</span><span class="n">prompt</span><span class="p">,</span>
<span class="lineno">161</span>                 <span class="n">uncond_scale</span><span class="o">=</span><span class="n">opt</span><span class="o">.</span><span class="n">scale</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-25'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-25'>#</a>
            </div>
            <p></p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">165</span><span class="k">if</span> <span class="vm">__name__</span> <span class="o">==</span> <span class="s2">&quot;__main__&quot;</span><span class="p">:</span>
<span class="lineno">166</span>    <span class="n">main</span><span class="p">()</span></pre></div>
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